System and Method for Securing Multiregional Interactions Utilizing Quantum Computing

Abstract

A system includes a memory configured to store instances of a software application and a quantum processor operably coupled to the memory and configured to receive, from an instance of the software application, a user request to initiate an execution of multiregional interactions. The quantum processor is further configured to determine, based on the user request, structured data items configured to be completed by the user in order to satisfy the user request, identify, based one or more data fields within the structured data items, an input of first user identity verification data for satisfying the user request, extract, based on quantum sensor data obtained from quantum sensors, second user identity verification data, execute one or more quantum machine-learning (QML) models trained to identify whether the second user identity verification data matches to the first user identity verification data, and initiate the execution of the one or more multiregional interactions.

1 . A system, comprising: 
 a memory configured to store a plurality of instances of a software application executable on a computing device; and    one or more quantum processors operably coupled to the memory and configured to: 
 receive, from at least one instance of the software application executing on the computing device, a user request to initiate an execution of one or more multiregional interactions, and, in response: 
 determine, based at least in part on the user request, one or more structured data items configured to be completed by the user in order to satisfy the user request to initiate the execution of the one or more multiregional interactions;  
 identify, based at least in part on one or more data fields within the one or more structured data items, an input of first user identity verification data for satisfying the user request to initiate the execution of the one or more multiregional user interactions;  
 extract, based on quantum sensor data obtained from one or more quantum sensors of the computing device, second user identity verification data;  
 execute one or more quantum machine-learning (QML) models trained to identify whether the second user identity verification data matches to the first user identity verification data; and  
 in response to identifying that the second user identity verification data matches to the first user identity verification data, initiate the execution of the one or more multiregional interactions. 
 
   
     
     
         2 . The system of  claim 1 , wherein the memory is further configured to store prestored user identity verification data, and wherein the one or more quantum processors are further configured to:  
       execute the one or more quantum machine-learning (QML) models further trained to identify whether the second user identity verification data matches to the prestored user identity verification data; and 
       in response to identifying that the second user identity verification data matches to the prestored user identity verification data, forgo the initiation of the execution of the one or more multiregional interactions. 
     
     
         3 . The system of  claim 1 , wherein the first user identity verification data comprises a set of know your customer (KYC) identity verification data, and wherein the set of KYC identity verification data comprises one or more of inventory data, regional facilities data, or multiregional interaction data. 
     
     
         4 . The system of  claim 3 , wherein the one or more quantum processors are further configured to execute the one or more quantum machine-learning (QML) models further trained to identify whether the second user identity verification data matches to the first user identity verification data by performing a parallel processing and comparison of each of the one or more of inventory data, regional facilities data, or multiregional interaction data to the second user identity verification data. 
     
     
         5 . The system of  claim 1 , wherein the one or more quantum processors are further configured to:  
       prior to receiving the second user identity verification data:  
       encrypt the first user identity verification data utilizing one or more quantum encryption algorithms or one or more post-quantum cryptographic algorithms; and 
       associate one or more quantum keys with the encrypted first user identity verification data to be shared between the system and the computing device. 
     
     
         6 . The system of  claim 1 , wherein the one or more quantum processors are further configured to: 
 prior to initiating the execution of the one or more multiregional interactions, execute the one or more quantum machine-learning (QML) models further trained to analyze the one or more multiregional user interactions to identify one or more potential anomalies or patterns indicative of misrepresentative data.   
     
     
         7 . The system of  claim 1 , wherein the one or more quantum processors are further configured to store the second user identity verification data as one or more quantum bits (QuBits) of data to a quantum memory of the system or as one or more bits of data to a relational database of the system. 
     
     
         8 . A method, comprising: 
 receiving, from at least one instance of a software application executing on a computing device, a user request to initiate an execution of one or more multiregional interactions, and, in response: 
 determining, based at least in part on the user request, one or more structured data items configured to be completed by the user in order to satisfy the user request to initiate the execution of the one or more multiregional interactions; 
 identifying, based at least in part on one or more data fields within the one or more structured data items, an input of first user identity verification data for satisfying the user request to initiate the execution of the one or more multiregional user interactions; 
 extracting, based on quantum sensor data obtained from one or more quantum sensors of the computing device, second user identity verification data;  
 executing one or more quantum machine-learning (QML) models trained to identify whether the second user identity verification data matches to the first user identity verification data; and 
 in response to identifying that the second user identity verification data matches to the first user identity verification data, initiating the execution of the one or more multiregional interactions. 
   
     
     
         9 . The method of  claim 8 , further comprising: 
 executing the one or more quantum machine-learning (QML) models further trained to identify whether the second user identity verification data matches to prestored user identity verification data; and   in response to identifying that the second user identity verification data matches to the prestored user identity verification data, forgoing the initiation of the execution of the one or more multiregional interactions.   
     
     
         10 . The method of  claim 8 , wherein the first user identity verification data comprises a set of know your customer (KYC) identity verification data, and wherein the set of KYC identity verification data comprises one or more of inventory data, regional facilities data, or multiregional interaction data. 
     
     
         11 . The method of  claim 10 , wherein identifying whether the second user identity verification data matches to the first user identity verification data further comprises performing a parallel processing and comparison of each of the one or more of inventory data, regional facilities data, or multiregional interaction data to the second user identity verification data.  
     
     
         12 . The method of  claim 8 , further comprising:  
       prior to receiving the second user identity verification data:  
       encrypting the first user identity verification data utilizing one or more quantum encryption algorithms or one or more post-quantum cryptographic algorithms; and 
       associating one or more quantum keys with the encrypted first user identity verification data to be shared between a system and the computing device. 
     
     
         13 . The method of  claim 8 , further comprising: 
 prior to initiating the execution of the one or more multiregional interactions, executing the one or more quantum machine-learning (QML) models further trained to analyze the one or more multiregional user interactions to identify one or more potential anomalies or patterns indicative of misrepresentative data.   
     
     
         14 . The method of  claim 8 , further comprising storing the second user identity verification data as one or more quantum bits (QuBits) of data to a quantum memory of a system or as one or more bits of data to a relational database of the system. 
     
     
         15 . A non-transitory computer-readable medium storing instructions that, when executed by one or more quantum processors, cause the one or more quantum processors to:  
       receive, from at least one instance of a software application executing on a computing device, a user request to initiate an execution of one or more multiregional interactions, and, in response: 
 determine, based at least in part on the user request, one or more structured data items configured to be completed by the user in order to satisfy the user request to initiate the execution of the one or more multiregional interactions; 
 identify, based at least in part on one or more data fields within the one or more structured data items, an input of first user identity verification data for satisfying the user request to initiate the execution of the one or more multiregional user interactions; 
 extract, based on quantum sensor data obtained from one or more quantum sensors of the computing device, second user identity verification data;  
 execute one or more quantum machine-learning (QML) models trained to identify whether the second user identity verification data matches to the first user identity verification data; and 
 in response to identifying that the second user identity verification data matches to the first user identity verification data, initiate the execution of the one or more multiregional interactions. 
 
     
     
         16 . The non-transitory computer-readable medium of  claim 15 , wherein the instructions further cause the one or more quantum processors to: 
 execute the one or more quantum machine-learning (QML) models further trained to identify whether the second user identity verification data matches to prestored user identity verification data; and   in response to identifying that the second user identity verification data matches to the prestored user identity verification data, forgo the initiation of the execution of the one or more multiregional interactions.   
     
     
         17 . The non-transitory computer-readable medium of  claim 15 , wherein the first user identity verification data comprises a set of know your customer (KYC) identity verification data, and wherein the set of KYC identity verification data comprises one or more of inventory data, regional facilities data, or multiregional interaction data. 
     
     
         18 . The non-transitory computer-readable medium of  claim 17 , wherein the instructions further cause the one or more quantum processors to: 
 execute the one or more quantum machine-learning (QML) models further trained to identify whether the second user identity verification data matches to the first user identity verification data by performing a parallel processing and comparison of each of the one or more of inventory data, regional facilities data, or multiregional interaction data to the second user identity verification data.   
     
     
         19 . The non-transitory computer-readable medium of  claim 15 , wherein the instructions further cause the one or more quantum processors to:  
       prior to receiving the second user identity verification data:  
       encrypt the first user identity verification data utilizing one or more quantum encryption algorithms or one or more post-quantum cryptographic algorithms; and 
       associate one or more quantum keys with the encrypted first user identity verification data to be shared between a system and the computing device. 
     
     
         20 . The non-transitory computer-readable medium of  claim 15 , wherein the instructions further cause the one or more quantum processors to:  
       prior to initiating the execution of the one or more multiregional interactions, execute the one or more quantum machine-learning (QML) models further trained to analyze the one or more multiregional user interactions to identify one or more potential anomalies or patterns indicative of misrepresentative data.